Data Engineer, Prime Video Global Brand & Marketing Insights

Amazon•Culver City, CA

18h•$101,300 - $160,000•Onsite

About The Position

Prime Video is a leading entertainment platform offering a wide range of premium content across various devices. The Prime Video (PV) Global Brand Insights team is seeking a Data Engineer to build data pipelines and generate insights that will help the business better understand and deliver value to customers. This role involves working with a dynamic team of insights professionals focused on understanding and building customer relationships with the Prime Video brand and service. The ideal candidate is a strategic, data-driven engineer with a proven ability to deliver impactful business recommendations in a fast-paced environment. They should be comfortable working with large datasets, complex technical challenges, and possess a passion for data and analytics. Expertise in data modeling, ETL design, and cloud/big-data technologies is essential, along with a collaborative approach to identifying strategic opportunities for data infrastructure improvements that drive significant business impact.

Requirements

2+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)
Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model
Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Experience using BI tools (e.g., Tableau, Adobe) to visualize data

Nice To Haves

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
Experience with test-driven development
Experience architecting/operating solutions built on AWS
Experience in component selection and understanding of component reliability

Responsibilities

Build & Optimize data models & pipelines for complex global datasets
Own ongoing data quality & self-service access to datasets for business intelligence, AI-based tools, and Model Context Protocols (MCP)
Improve metadata for better AI results
Collaborate with research program leads, data scientists, business intelligence engineers, and other data engineers to maintain stable, performant data solutions
Write secure, stable, testable, and maintainable code with minimal defects
Apply appropriate data design approaches and make judicious trade-offs without over-engineering
Optimize resource usage, including system hardware, data storage, query optimization, and AWS infrastructure
Participate actively in code reviews, design discussions, and roadmap planning
Resolve root causes of complex problems while balancing stakeholder requirements with team needs
Stay current on the latest innovations in the field, including ways that AI can be better used by our stakeholders to analyze and visualize our data
Develop & maintain automated reporting and dashboards to provide visibility into brand, marketing, and social performance and allow stakeholders to self-serve insights

Benefits

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave
sign-on payments
restricted stock units (RSUs)

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